The Machine Learning specialisation offers a deep insight into the world of machine learning and its current frontiers. Students will learn about machine learning, intelligent agents (reinforcement learning, information-theoretic foundations), and bio-inspired computing (neural networks, and evolutionary algorithms).
Learning Outcomes
- demonstrate a solid understanding of a variety of Machine Learning approaches.
- formalise real-world problems and select the most appropriate Machine Learning method to solve such a problem.
- implement Machine Learning algorithms and design and carry out empirical evaluations
- compare and critique all state-of-the-art Machine Learning approaches.
understand the interaction of current industry trends and the state-of-the-art Machine Learning approaches.
Requirements
This Specialization requires the completion of 24 units from the following list:
COMP6261 Information Theory
COMP6490 Document Analysis
COMP6670 Introduction to Machine Learning
COMP8420 Neural Networks, Deep Learning and Bio-inspired Computing
COMP8600 Statistical Machine Learning
COMP8650 Advanced Topics in Machine Learning
COMP8880 Computational Methods for Network Science
ENGN6528 Computer Visions
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